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Selective Translation of Low Abundance and Upregulated Transcripts in Halobacterium salinarum

mSystems(2020)10.1128/msystems.00329-20Source: DataRank Database

Selective Translation of Low Abundance and Upregulated Transcripts in Halobacterium salinarum is a research paper published in mSystems (2020). On theSindex it has a DataRank of 0. It has been cited 13 times.

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Open Access13 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (19 grants)Impact (FWCI 0.81)OA: goldTopics (32)IDs (PubMed, PMC, OpenAlex)Annotations (4)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

Ulrike Kusebauch ORCID,Arjun V. Raman,Min Pan ORCID,Serdar Turkarslan ORCID,Alan P. R. Lorenzetti ORCID

Live enrichment

PubMed:32723790 PMC:PMC7394353 OpenAlex:https://openalex.org/W3046120175

HHS | National Institutes of Health

Grant: R01GM087221

HHS | National Institutes of Health

Grant: 2P50GM076547

HHS | National Institutes of Health

Grant: R01AI128215

HHS | National Institutes of Health

Grant: R01AI141953

National Science Foundation

Grant: MSB-1237267

National Science Foundation

Grant: DB-1262637

National Science Foundation

Grant: DB-1565166

National Science Foundation

Grant: MCB-1330912

National Science Foundation

Grant: MCB-1616955

São Paulo Research Foundation

Grant: #2017/03052-2

São Paulo Research Foundation

Grant: #2019/13440-5

NIGMS NIH HHS

Grant: P50 GM076547

National Science Foundation

Grant: 1330912

Interplay of Transcriptional, Translational Regulatory Mechanisms and Kinetics of an Environmental Response

National Science Foundation

Grant: 1262637

ABI Innovation: An approach to construct a systems-scale predictive model of a gene regulatory network complete with mechanisms at single nucleotide resolution

National Institutes of Health

Grant: 1R01AI141953-01A1

A systems approach to manipulate microbial adaptation to structured environments

National Institutes of Health

Grant: 5R01GM087221-10

Development of Trans Proteomic Pipeline, an Analysis Suite for Mass Spectrometry

National Institutes of Health

Grant: 5P50GM076547-09

Project 2

National Institutes of Health

Grant: 5R01AI128215-03

A systems analysis of drug tolerance in Mycobacterium tuberculosis

National Science Foundation

Grant: 1237267

EAGER: Shared Principles of Adaptive Learning - anticipatory behavior in Halobactetrium salinarum

FWCI

0.81

Citation Percentile

0.7%

Citation Trend

2020

2021

2022

2023

2024

2025

goldLicense: cc-by

journalhttps://doi.org/10.1128/msystems.00329-20

publisherhttps://doi.org/10.1128/msystems.00329-20

publisherhttps://journals.asm.org/doi/pdf/10.1128/mSystems.00329-20

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32723790

repositoryhttps://doaj.org/article/1d98f7db9af94b298de241967a44bddd

Fields of Study

RNA and protein synthesis mechanismsBacterial Genetics and BiotechnologyGenomics and Phylogenetic Studies0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

BiologyRibosome profilingTranslational regulationRibosomeRibosomal proteinHalobacterium salinarumTranslational efficiencyComputational biologyTranscriptomeGeneticsProtein biosynthesisRNATranslation (biology)Cell biologyGene expressionGeneMessenger RNAArchaeaProteomicsTranscriptomicsRibosome HeterogeneitySelective TranslationTranscription-translation InterplayMicrobiologyQR1-502Research Article

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Life in Land